Tom Segura jokes about supermodels in his Netflix special, "Sledgehammer".
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פודקאסטים ששווה להאזין
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Getting Started & Building Your MVP
Manage episode 424111678 series 3580351
תוכן מסופק על ידי CodeBuddy. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי CodeBuddy או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
In this episode of the DevDifferent podcast, the team at CodeBuddy discusses challenges when building an MVP (Minimum Viable Product) and shares their experiences and insights. They emphasize the importance of validating the concept before investing significant time and money and suggest starting with the minimum sellable product (MSP) rather than building out the full product.
The team shares their own experiences with pivoting and the importance of getting user feedback early on. The conversation explores the challenges of software development, including the lack of standards and the need for constant reinvention. It emphasizes the importance of iterative development, adaptability, and leaving room for uncertainty.
They discuss the role of non-technical founders and provide advice on how to avoid being taken advantage of.
Podcast Listeners:
Sign up for your FREE CodeBuddy account @ www.codebuddy.com
15 פרקים
שתפוManage episode 424111678 series 3580351
תוכן מסופק על ידי CodeBuddy. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי CodeBuddy או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
In this episode of the DevDifferent podcast, the team at CodeBuddy discusses challenges when building an MVP (Minimum Viable Product) and shares their experiences and insights. They emphasize the importance of validating the concept before investing significant time and money and suggest starting with the minimum sellable product (MSP) rather than building out the full product.
The team shares their own experiences with pivoting and the importance of getting user feedback early on. The conversation explores the challenges of software development, including the lack of standards and the need for constant reinvention. It emphasizes the importance of iterative development, adaptability, and leaving room for uncertainty.
They discuss the role of non-technical founders and provide advice on how to avoid being taken advantage of.
Podcast Listeners:
Sign up for your FREE CodeBuddy account @ www.codebuddy.com
15 פרקים
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Dev Different
1 How Ugly Starts Lead to Billion-Dollar Companies 51:19
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הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיDownload the MVP Workbook for FREE @ www.codebuddy.com/library In this episode of the Dev Different podcast, Tanner Lytle and Devin Seacrest discuss the essential elements of building a Minimum Viable Product (MVP). They explore the importance of desirability, feasibility, and profitability in product development, emphasizing the need to start with an 'ugly' version of a product to validate ideas before investing heavily. Through case studies of successful companies like Amazon and Dropbox, they illustrate how starting small and iterating based on customer feedback can lead to significant success. The conversation also touches on Kodak's failure to adapt to digital photography and the importance of identifying and serving low-value customers that larger companies often overlook. In this conversation, Devon and Tanner explore the essential stages of building a startup, focusing on the importance of testing desirability and feasibility before launching a product. They discuss various methods for validating ideas, such as landing pages, concierge services, crowdfunding, and competitor analysis. The conversation also emphasizes the significance of usability testing, funding strategies, and the iterative nature of product development, highlighting that many successful entrepreneurs have faced failures before achieving success. Takeaways: • Building an MVP is crucial for aspiring founders. • Desirability, feasibility, and profitability are key components of an MVP. • Starting with an 'ugly' product can lead to better feedback. • Many successful companies pivot multiple times before finding product-market fit. • Testing desirability can be done with minimal investment. • Understanding your audience is essential for success. • Legacy companies often ignore low-value customers. • Iterating based on customer feedback is vital for product development. • You don't need to be profitable immediately to validate an idea. • Research and understanding the market are critical before building. High-growth investors often view breaking even as a red flag. • Landing pages can effectively gauge interest in a product. • Concierge services allow for early revenue and product testing. • Crowdfunding can validate a product idea before full development. • Competitor testing helps identify market gaps and user needs. • Feature stubs can test market interest without full product development. • Usability testing is crucial for ensuring product feasibility. • Funding strategies should prioritize external sources over personal savings. • Prototyping should start with low-fidelity designs for better feedback. • The journey of entrepreneurship often involves multiple pivots and iterations.…
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Dev Different
1 Empowering Future Engineers with AI - Dr. Bonita Sharif 58:43
58:43 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי58:43
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיHuman-Computer Interaction, Requirements Engineering, AI in Software Development, Co-Creation, User Stories, Software Engineering, Developer Productivity, Software Requirements, Digital Twins, Software Design, AI, education, software engineering, ethics, learning, critical thinking, innovation, user stories, technology addiction, teaching methods ------ In this episode of the Dev Different podcast, Hunter and Dr. Bonita Sharif discuss the critical fields of Human-Computer Interaction (HCI) and Requirements Engineering. They explore the impact of AI on software development, emphasizing the importance of collaboration between academia and industry. Dr. Sharif shares insights on the challenges students face in understanding requirements and the significance of co-creation sessions with clients to foster shared understanding. The conversation also touches on the future of user stories and the potential role of AI in enhancing this process. In this conversation, Hunter and Bonita explore the intersection of AI, education, and ethics in software engineering. They discuss the potential of AI to assist in training future engineers, the importance of critical thinking and fundamentals in education, and the ethical responsibilities of software engineers in the age of AI. They emphasize the need for a shift in educational paradigms to foster innovation and the acceptance of failure as a crucial part of the learning process. Takeaways: • AI is transforming software development and is here to stay. • Human-computer interaction is crucial for understanding developer productivity. • Co-creation sessions with clients enhance shared understanding of requirements. • Writing down requirements is a form of thinking and helps clarify ideas. • Students struggle with deriving requirements from textual information. The complexity of software has increased significantly over the years. • Intent behind requirements is often difficult to articulate. • Developers need to consider their own human limitations in the development process. • Prioritization of requirements is essential for project success. • AI can assist in creating user stories but should not replace human creativity. Training high schoolers to evaluate user stories is feasible. • AI will not replace jobs but will change how we work. • Ethical considerations in AI are paramount for software engineers. • Education should focus on critical thinking and fundamentals. • Students often prioritize grades over genuine learning. • Innovation requires permission to fail and change direction. • AI can assist but should not replace human understanding. • The marketing of AI often misrepresents its true potential. • Understanding the ethical implications of technology is crucial. • Education should evolve to meet the needs of society. Chapters: 00:00:01 - Introduction and Guest Background 00:02:29 - Importance of Human-Computer Interaction and Requirements Engineering 00:03:07 - The Changing Landscape of Software Engineering 00:06:19 - Challenges Faced by Students in Software Development 00:09:34 - The Role of AI in Software Development 00:13:16 - The Concept of Digital Twins 00:15:22 - Potential Uses of AI in Meetings 00:18:55 - Understanding Requirements Engineering 00:22:17 - The Importance of Co-Creation Sessions 00:28:29 - The Role of AI in Creating User Stories 00:33:03 - The Role of AI in Education 00:36:22 - The Misrepresentation of AI in Media 00:39:20 - The Ethical Obligations of AI 00:40:10 - The Impact of Technology Addiction 00:45:09 - The Role of Ethics in Education 00:47:03 - Revamping Education in Software Engineering 00:50:46 - The Role…
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Dev Different
1 Can AI Replace Human Designers? Deep Dive with CodeBuddy's Creative Lead 46:35
46:35 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי46:35
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיIn this episode of the Dev Different podcast, Hunter and Ross dig deep into the multifaceted world of design, exploring its essence, the impact of AI on design processes, and the evolution of design methodologies. They discuss how design is not just about aesthetics but about solving problems and creating meaningful experiences. The conversation highlights the importance of innovation in design and how new tools are reshaping the landscape for designers and developers alike. Takeaways: • Design is everywhere, influencing our daily experiences. • The essence of design lies in problem-solving and user experience. • AI is transforming the design process, automating grunt work. • The relationship between designers and developers is evolving with new tools. • Design should be integrated from the beginning of the development process. • Innovation in design is crucial for creating impactful products. • The storytelling layer of design is as important as the functional layer. • Rapid iteration in design leads to better outcomes. • Trust and collaboration between designers and developers enhance the design process. • The future of design will be shaped by creativity and technology. Chapters: 00:00 Introduction to Design and Its Importance 09:05 The Evolution of Design Tools and AI's Role 18:02 The Future of Design: Automation vs. Human Creativity 25:41 The Evolution of Design Processes 29:50 Retrospective Design: A New Paradigm 35:24 The Role of Prototyping in Design 42:30 Embracing Innovative Technologies in Design…
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Dev Different
1 Can AI Be Truly Fair? A Deep Dive into Ethics and Bias with Dr. Deepak Khazanchi 1:02:20
1:02:20 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי1:02:20
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיIn this conversation, Dr. Deepak Khazanchi discusses the evolving landscape of AI education, emphasizing the need for multidisciplinary approaches that integrate ethics, philosophy, and technical skills. He highlights the importance of fairness in AI development, the necessity of explainability in AI outcomes, and the role of human oversight in mitigating biases and unintended consequences. The discussion also touches on the rapid advancements in AI technology and the challenges they present in terms of responsibility and governance. In this conversation, Dr. Deepak Khazanchi discusses the intersection of AI, education, and research, highlighting the challenges faced by educational institutions in accessing computational resources for AI research. He emphasizes the importance of supporting teachers and addressing the digital divide that affects students' access to technology. The conversation also touches on the unintended consequences of AI, the need for responsible AI development, and the evolving nature of work in the age of automation. Takeaways: • AI education must adapt to rapid technological changes. • Multidisciplinary approaches are essential for AI education. • Fairness in AI requires equitable outcomes for all. • Explainability in AI is crucial for user trust. • Implicit biases can influence AI development processes. • Human oversight is necessary to ensure responsible AI use. • AI is fundamentally based on statistical methods. • Understanding AI's unintended consequences is vital. • Collaboration across disciplines enhances AI education. • The future of AI involves integrating ethics into technology. • AI can enhance research capabilities in educational institutions. • There is a significant need for better computational resources in research. • Supporting teachers is crucial for the future of education. • The digital divide remains a pressing issue in education. • AI will not completely replace human jobs, but will change them. • Unintended consequences of AI must be considered in development. • Transparency and fairness in AI systems are essential. • Education must adapt to the changing nature of work due to AI. • Access to technology is critical for equitable education. • AI can be a force for good if developed responsibly. Links for pages mentioned in the episode: https://spectrum.ieee.org/ieee-usa-ai-regulation-guide https://www.artificial-intelligence-act.com/ https://digitaldemocracy.calmatters.org/bills/ca_202320240sb1047 https://unsceb.org/principles-ethical-use-artificial-intelligence-united-nations-system Chapters: 00:00:01 - Introduction 00:00:19 - Guest Introduction: Dr. Deepak Kazanchi 00:02:12 - Discussion on AI Degree at UNO 00:04:19 - The Future of Education in AI 00:07:51 - AI's Development Philosophy 00:10:00 - Responsibility in AI Development 00:15:11 - AI and Ethics 00:15:35 - Transparency and Explainability in AI 00:16:17 - Fairness in AI Development 00:17:20 - AI and Misinformation 00:18:02 - AI and Representation 00:18:40 - AI and Bias 00:19:16 - AI and Truth 00:19:52 - AI and Fairness 00:20:47 - AI and Information Retrieval 00:23:33 - AI and Procedural Fairness 00:25:18 - AI and Implicit Bias 00:27:35 - AI and Governance 00:28:32 - AI and Unintended Consequences 00:30:47 - AI in Medical Research 00:31:21 - Challenges in AI Research and Development 00:33:40 - AI in Infrastructure Health 00:37:00 - AI Education and Transparency 00:38:39 - AI and Education Funding 00:39:22 - The Importance of Education 00:42:24 - AI in Personalized Education 00:43:10…
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Dev Different
1 Skyler Reising's SECRET to Becoming a Software Engineer 51:01
51:01 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי51:01
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיIn this episode, Skyler Reising shares his unique journey from being a high school counselor to becoming a software engineer. He discusses the challenges he faced during his transition, the importance of networking, and the role of mentorship in his career growth. Skyler highlights his experience with the 100 Devs coding bootcamp and the Pathways program, emphasizing the significance of community and structured learning. The conversation also explores the impact of AI on education and the future of software development, as well as the balance between traditional learning methods and modern resources like ChatGPT. Takeaways: • Skyler transitioned from a high school counselor to a software engineer. • He learned coding through the 100 Devs bootcamp on YouTube. • Networking played a crucial role in his job search. • The Pathways program provided structured learning and job opportunities. • Mentorship significantly impacted his growth as a developer. • AI tools can enhance learning but should not replace foundational skills. • Soft skills are essential in the tech industry. • Different paths to becoming a developer exist, including self-taught and formal education. • The future of education in tech may shift towards shorter, intensive programs. • Starting early in tech can lead to greater opportunities. software engineering, career transition, coding bootcamp, networking, AI in education, mentorship, learning process, developer paths, education future, soft skills…
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Dev Different
1 Are you ready for an AI-driven future? 45:20
45:20 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי45:20
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיIn this conversation, Hunter, Devon, & Tanner discuss the current state of AI technology, particularly focusing on OpenAI's new reasoning model, O1. They explore the implications of AI on society, the economy, and the job market, emphasizing the need for responsible development and the potential risks associated with AI. The discussion also touches on the balance between technological advancement and human values, the role of capitalism in driving innovation, and the importance of user experience in AI applications. Ultimately, the speakers express a cautious optimism about the future of AI and its impact on various aspects of life. Takeaways: • The hype surrounding AI technology is often overblown. • OpenAI's O1 model has sparked significant discussion about AI's future. • AI development should prioritize societal benefits over corporate interests. • Capitalism plays a crucial role in driving AI innovation. • The job market will evolve as AI becomes more integrated into workflows. • User empathy will be essential in AI applications. • AI can enhance communication but also create challenges. • The balance between technology and humanity is critical for future development. • Investments in AI are becoming increasingly costly and concentrated. • Future work will require higher skill levels due to AI advancements. Chapters: 00:00 Introduction and AI Hype 02:59 OpenAI's O1 Model and Its Implications 05:52 The Role of AI in Society 08:56 Concerns Over AI Development 11:56 Capitalism and AI Innovation 15:03 The Future of AI and Job Market 18:05 AI's Impact on Communication 20:57 Navigating AI in Business 24:00 User Experience and AI 26:50 The Balance of Technology and Humanity 30:07 Conclusion and Final Thoughts…
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Dev Different
1 OpenAI o1 is here! Is it any good? 39:14
39:14 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי39:14
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיTanner and Hunter discuss the newly released OpenAI O1 model, focusing on its multi-step reasoning capabilities and implications for software engineering. They explore the evolution of AI models, the importance of prompt engineering, and how AI can bridge knowledge gaps for non-technical users. The discussion also touches on the future of software engineering, the shift towards task-specific AI models, and the impact of AI on job markets, emphasizing the need for engineers to adapt to changing demands in the industry. Takeaways: • OpenAI's O1 model introduces multi-step reasoning capabilities. • Prompt engineering is crucial for effective AI interaction. • AI can help bridge knowledge gaps for non-technical users. • The future of software engineering will require new skills. • Task-specific AI models are becoming more prevalent. • AI's impact on job markets is significant and evolving. • Software engineers need to adapt to changing industry demands. • AI can enhance productivity but may disrupt traditional roles. • The evolution of AI models is rapid and transformative. • Understanding AI's limitations is essential for effective use. Chapters: 00:01 - Introduction and Overview of O1 00:53 - Opinions and Initial Reactions 04:38 - Limitations and Potential Misuse 08:23 - Changes in Interacting with AI 09:21 - Nuance in AI and the Future 12:58 - Cost Considerations and Control 14:27 - Concerns on Transparency 20:24 - AI's Reinforcement Learning and Contextual Understanding 25:47 - AI's Role in Rapid Technological Evolution 27:40 - AI's Impact on Expectations and Entitlement 31:38 - Impact of AI on Job Security 33:09 - Fear and Change in Software Engineering 35:11 - The Changing Role of Junior Engineers 36:32 - The Disappearing Moat of Technical Knowledge 38:33 - Closing Thoughts and Listener Engagement…
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Dev Different
1 Usability testing & building the right software features 35:31
35:31 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי35:31
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיRecorded on 10/06/2024 at the Heartland Developers Conference (HDC) in Omaha, NE. Download the presentation workbook for FREE @ www.codebuddy.com/library Unlock the secrets of successful software development with Devon Seacrest, co-founder and CEO of CodeBuddy. In this presentation, Devon shares invaluable insights on customer usability testing and building the right features for your product. Learn why investing in usability testing can yield a 100x return on investment and discover the psychological barriers that prevent honest customer feedback. We'll explore cutting-edge techniques like Wizard of Oz testing, competitor analysis, and unmoderated testing to help you build products that truly resonate with your users. From startup founders to enterprise software developers, this video is packed with actionable strategies to ship faster, reduce costs, and create products your customers will love. 5 Key Takeaways: • Psychological safety is crucial for obtaining honest customer feedback • Usability testing with just 3-5 users can reveal 86% of user issues • Balance listening to customers with visionary innovation • Use a mix of qualitative and quantitative testing methods • Implement a structured usability testing process for continuous improvement Chapters: 00:01 - Introduction 00:48 - The Problem with Our Startup 01:45 - The Importance of Usability Testing 02:03 - About the Speaker 02:47 - Why Building the Right Features Matters 03:28 - Visionary Delight 03:41 - Why Building the Right Features is Hard 04:08 - Psychological Safety 07:22 - Projection Bias 10:31 - Conflict of Interest 15:57 - Balancing Innovation and Iterative Improvements 16:34 - Introduction to Testing Models 18:12 - Qualitative vs Quantitative Testing 19:35 - Deep Dive into Usability Testing 24:47 - Usability Testing Script 28:16 - Post Usability Testing Steps 29:52 - Iterative Usability Testing 30:27 - Q&A Session 31:22 - Selecting Participants for Usability Testing 31:45 - Role of UI/UX Team in Usability Testing 32:34 - Frequency of Usability Testing 33:12 - Choosing Between Expert and Novice Users for Testing 34:47 - Usability Testing for Internal Business Tools 35:31 - Closing Remarks usability testing, software development, product management, customer feedback, user experience, startup strategies, feature development, A/B testing, NPS surveys, psychological safety, competitor analysis, innovation, MVP, agile development, lean startup…
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Dev Different
1 Building uptrends.ai & revolutionizing stock market insights 1:05:15
1:05:15 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי1:05:15
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיGET 50% OFF FOR 3 MONTHS @ UPTRENDS.AI USING CODE - BUILDDIFFERENT "Uptrends helps financial advisors and everyday investors find which stocks are trending in online chatter." In this episode of the DevDifferent podcast, Hunter interviews Sam and Ramsey from UpTrends. They discuss the evolution of their company and how they use AI to analyze online chatter and provide insights on trending stocks. They talk about the importance of personalized and proactive email notifications for their users. They also explore the potential of using virtual reality and augmented reality to enhance the user experience of their platform. The conversation covers various topics including the importance of intuitive design, the rise of AI-generated content, and the benefits of remote work. The guests discuss the need for products to be self-evident and easy to use, citing Steve Jobs' quote that simplicity is the highest form of sophistication. They also explore the challenges and opportunities presented by the increasing prevalence of AI-generated content, particularly in the realm of news and information. Additionally, they share their personal experiences and strategies for maintaining productivity and creativity while working remotely. UpTrends, AI, online chatter, trending stocks, personalized email notifications, virtual reality, augmented reality, intuitive design, AI-generated content, remote work, simplicity, self-evident, challenges, opportunities, productivity, creativity Takeaways: • UpTrends uses AI to analyze online chatter and provide insights on trending stocks. • They have evolved from a static landing page to a platform that sends personalized and proactive email notifications to users. • The goal is to meet users where they are and provide them with the information they need in a natural and convenient way. • There is potential for using virtual reality and augmented reality to enhance the user experience of the platform. Products should be self-evident and easy to use, following the principle of simplicity. • The rise of AI-generated content poses challenges in terms of distinguishing between real and fake information. • Remote work offers opportunities for individualized work environments and creative breaks. • Engaging in physical activities or hobbies can provide a mental break and enhance productivity. • The ability to adapt and be creative becomes increasingly valuable as AI technology advances. Chapters: 00:00 Introduction and Background 05:28 Elevator Pitch for UpTrends 09:40 Defining News and Information Density 12:19 Optimizing for Short-Term Trade Gains 27:32 Transition to Proactive Email Notifications 30:22 Impact of Email Notifications on Users 35:14 Exploring the Potential of Virtual Reality and Augmented Reality 39:48 The Importance of Intuitive Design 43:49 The Rise of AI-Generated Content 53:00 Strategies for Productivity and Creativity in Remote Work…
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Dev Different
In this podcast episode, Tanner and Hunter discuss different ways to effectively utilize AI. They explore three levels of AI interaction: subordinate, partnership, and mentorship. They emphasize the importance of providing context and asking the AI clarifying questions to get better results. They also discuss the concept of agent-based AI development, where an AI is given specific functions to execute based on the situation. Overall, they highlight the need to approach AI with clear goals and expectations to maximize its effectiveness. AI utilization, subordinate AI, partnership AI, mentorship AI, context, clarifying questions, agent-based AI development Takeaways: • Different levels of AI interaction: subordinate, partnership, and mentorship • Provide context and ask clarifying questions to get better results from AI • Consider agent-based AI development for specific tasks • Approach AI with clear goals and expectations…
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Dev Different
1 Better Software Faster: AI Tools, Psychological Safety, Task Overhead - Nebraska.Code() Presentation 41:56
41:56 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי41:56
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיWhy Velocity Matters: "Software projects are 10x more likely to run over time and budget, even with the advancement of AI. We are not talking about a little over, we are talking an average of 200% over budget and 70% over time." Download the workbook for FREE here: www.codebuddy.com/library Topics Covered: - Hype of New Tools - Insanely Fast Software Cultures - Product Management That Kills Productivity - Q&A Presentation Recorded on 07/1/2018 @NebraskaCode in Lincoln, NE Devon Seacrest, co-founder and CEO of CodeBuddy, is a repeat co-founder with over 24+ years of owning and operating high-growth businesses. Devon has raised over $27 million dollars in software and real estate capital and was a 2016 Kauffman Foundation Pipeline Fellow. He is a full-stack software engineer, a graduate of UNL College of Law, and bilingual (Spanish). Learn more about CodeBuddy @ www.codebuddy.com…
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Dev Different
1 Building Full Autonomy in Cattle Feeding | Jacob Hansen - CEO of ALA Engineering 1:04:41
1:04:41 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי1:04:41
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיJacob Hansen, co-founder and CEO of ALA Engineering, discusses the automation of cattle feeding in the feedlot industry. He explains the challenges of traditional feedlot operations and the need for automation to improve efficiency and reduce labor shortages. The conversation covers the analog process of feeding cattle, the role of feed trucks and feedlots in the beef supply chain, and the difficulties faced by human drivers in accurately distributing feed. Jacob shares the journey of ALA Engineering, from the initial driver information system to the implementation of advanced driver assistance systems (ADAS) and the use of radar ground speed sensors. The goal is to achieve full autonomy in cattle feeding. ALA is focused on developing autonomous feedlot trucks for the agriculture industry. They have taken a bottom-up approach, starting with driver assistance systems and gradually moving towards full automation. They have built their own custom truck, called the All-Star, which features a fully hydraulic powertrain and a cabless chassis. ALA has developed a robust sensor suite, including high-definition imaging radars, LiDAR, and cameras, to ensure accurate perception in various weather conditions. They have also built their own GPS controller for precise localization. By building their own systems, ALA has greater control over the technology, lower unit costs, and better long-term support for their customers. Takeaways: • The feedlot industry faces challenges such as labor shortages, equipment issues, and efficiency problems, making it ripe for automation. • Traditional feedlot operations rely on human drivers to distribute feed, which is a mentally taxing and error-prone task. • ALA Engineering is focused on automating the feed transportation process, starting with a driver information system and progressing to advanced driver assistance systems (ADAS). • The implementation of ADAS, along with radar ground speed sensors, has improved the accuracy and efficiency of feed distribution. • The ultimate goal of ALA Engineering is to achieve full autonomy in cattle feeding. ALA has taken a bottom-up approach to developing autonomous feedlot trucks, starting with driver assistance systems and gradually moving towards full automation. • They have built their own custom truck, called the All-Star, which features a fully hydraulic powertrain and a cabless chassis. • ALA has developed a robust sensor suite, including high-definition imaging radars, LiDAR, and cameras, to ensure accurate perception in various weather conditions. • They have also built their own GPS controller for precise localization. By building their own systems, ALA has greater control over the technology, lower unit costs, and better long-term support for their customers. Learn more about ALA Engineer @ https://ala.engineering/ Chapters 00:00:00 - Introduction 00:00:28 - Jacob Hansen's Background and Current Work 00:01:28 - Introduction to ALA Engineering 00:02:07 - Approach to Automation in Ag Tech 00:03:01 - Decision to Build In-house Systems 00:06:31 - Impact of Building In-house Systems 00:10:48 - Benefits of In-house Manufacturing 00:13:40 - Jacob's Early Ventures into Tech 00:15:19 - Introduction to ALA Engineering's Role in the Beef Supply Chain 00:16:22 - Feed Transportation and Distribution Process 00:17:34 - Traditional Feed Delivery Method 00:19:30 - In-depth Look at Human-operated Feed Delivery 00:19:55 - Challenges in Human-operated Feed Delivery 00:27:08 - ALA's Initial Approach to Automation 00:28:31 - First Step: Driver Information System 00:31:53 - Customizations to the Truck and Introduction of Hydrostat 00:32:20 - Understanding Hydrostat and its Benefits 00:33:00 - Explanation of Hydrostat Mechanism 00:33:28 - Benefits of Hydrostat for Fuel…
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Dev Different
1 Building Startups In The Age of AI 49:27
49:27 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי49:27
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיIn this episode, Samuel J Cummings III from DataPlant joins the Dev Different podcast to discuss building a startup in the age of AI. Sam shares his journey and highlights the developments in AI over the past decade. He emphasizes the importance of integrating AI tools into business processes to provide better customer experiences and drive value. The conversation explores the challenges and opportunities in the AI industry, including the commodification of AI, the cost of running models, and the need for cohesive and integrated platforms. Sam also challenges the prevailing concepts of Agile development and starting with small, simple ideas in business. The conversation explores the challenges of building a software company in the current landscape of rapid innovation and competition. It emphasizes the importance of thinking big and shooting for ambitious goals, rather than playing it safe with small, incremental improvements. The conversation also touches on the need for founder fit, where founders have unique insights and experiences in a specific industry or space. The role of creative thinking and the ability to think without constraints is highlighted as a superpower in the world of AI. The conversation concludes with a discussion on the future of large language models, the potential for more efficient and purpose-built models, and the importance of collaboration and community in the development of AI solutions. Takeaways Integrating AI tools into business processes can enhance customer experiences and drive value. The AI industry has seen significant developments over the past decade, with a focus on business applications. The commodification of AI and the cost of running models are challenges in the industry. Cohesive and integrated platforms have a better impact in the market compared to piecemeal solutions. The prevailing concepts of Agile development and starting with small ideas in business may not always be effective in the fast-paced world of AI. Think big and shoot for ambitious goals in order to stand out in a rapidly evolving and competitive market. Founder fit, where founders have unique insights and experiences in a specific industry or space, can increase the odds of success. Creative thinking is a superpower in the world of AI and can help differentiate and drive value. The future of large language models may involve more efficient and purpose-built models, as well as collaboration and community-driven solutions. Connect with Sam: https://www.thedataplant.com/ https://www.linkedin.com/in/samuelj314/ startup, AI, age of AI, journey, developments, business processes, customer experiences, value, challenges, opportunities, commodification, cost, models, cohesive platforms, integrated platforms, Agile development, small ideas, software company, rapid innovation, competition, thinking big, ambitious goals, founder fit, creative thinking, constraints, AI, large language models, efficiency, purpose-built models, collaboration, community…
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Dev Different
1 Should You Build or Buy Your Software? 36:39
36:39 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי36:39
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיAre you considering custom software for your business? Discover the benefits of DIY software development, tailored tech solutions, and how generative AI can revolutionize your operations in this episode! Join the CodeBuddy team as they debate whether to build or buy software and uncover the hidden costs of off-the-shelf solutions. Learn how custom software can save you money, boost efficiency, and give you a competitive edge. Perfect for entrepreneurs, developers, and business leaders looking to optimize their tech strategy. Key Takeaways: The power of custom software for your business How AI tools are changing the software landscape When to choose bespoke solutions over ready-made software Practical advice for startups and growing businesses Resources & Links: Subscribe for more insights Learn more about our services: www.codebuddy.com Follow us on social media: www.linkedin.com/company/codebuddycom/ Don't forget to like, comment, and subscribe for more expert advice on software development and AI innovations! #CustomSoftware #SoftwareDevelopment #DIYSoftware #GenerativeAI #TechSolutions #BusinessEfficiency #TailoredTech #BuildOrBuy #OffTheShelfSoftware #CompetitiveEdge…
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Dev Different
1 Getting Started & Building Your MVP 39:08
39:08 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי39:08
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיIn this episode of the DevDifferent podcast, the team at CodeBuddy discusses challenges when building an MVP (Minimum Viable Product) and shares their experiences and insights. They emphasize the importance of validating the concept before investing significant time and money and suggest starting with the minimum sellable product (MSP) rather than building out the full product. The team shares their own experiences with pivoting and the importance of getting user feedback early on. The conversation explores the challenges of software development, including the lack of standards and the need for constant reinvention. It emphasizes the importance of iterative development, adaptability, and leaving room for uncertainty. They discuss the role of non-technical founders and provide advice on how to avoid being taken advantage of. Podcast Listeners: Sign up for your FREE CodeBuddy account @ www.codebuddy.com…
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